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27 septembre 2017

Post-doc en traitement d'images

Catégorie : Post-doctorant

Université Côte d’Azur – IdEx UCAJEDI – Programme structurant Matière – Lumière - Interactions

Post-doc project: Multiscale tomography: imaging and modelling ancient materials

Contact: didier.binder@cepam.cnrs.fr


Université Côte d’Azur – IdEx UCAJEDI – Programme structurant Matière – Lumière - Interactions

Post-doc project: Multiscale tomography: imaging and modelling ancient materials

Topics of the position offered

Pottery studies are known to be pivotal within the archaeological field thanks to their contributions to the understanding of cultural traditions, social interactions and peopling dynamics. The reconstruction of pottery manufacturing was traditionally based on macroscopic examination until the implementation of new 3D methods. The latter enable to solve challenging questions on ancient materials characterization at different scales, in terms of microstructure, i.e. fabric, porosity and inclusions organization. However, the modelling of the material’s microstructure needs critical improvements thanks to mathematical and physical developments, i.e. imaging issues, analysis of available heterogeneous noisy data, segmentation, 2D and 3D-shape recognition, algorithms to detect features induced by the technical gestures.

Our project provides a high level of expertise in Archaeology and Geomaterials already experienced (CIMO ANR http://www.cepam.cnrs.fr/cimo/?lang=en) as well as in Mathematics and Physics, supporting a new transdisciplinary approach of ancient materials. This post-doc project allows cutting edge developments both in archaeological, physical, and mathematical sciences for modelling and detecting low level signals.

The main objective of the post-doc is the development of image analysis methods allowing detection of hidden structures in high-resolution images. This is a challenge in image processing due to the fact that the forms has to be recognized from only very few information that concern a large number of high-definition 3D reconstructed volumes, or 2D images. The difficulty of the task requires to develop new specific techniques for the detection of forms in these data. The overall process will involve tomographic reconstruction, using for instance inverse Radon reconstruction and related algorithms, image and volume processing through noise and artefact filtering, morphology/texture detection, segmentation and feature/shape extraction, using for instance stochastic geometry or detection of rare events. At the global scope, the methodological developpments will be focused on providing information that are relevant in the regard of the archeological questions at stake.

The candidate will have access to μCT and Synchrotron datasets. He or she will have to provide an excellent knowledge in signal and image processing and analysis techniques (classification, shape recognition, geometrical approaches), in statistical learning techniques, and a good knowledge in computer science, in particular regarding massive data processing (OpenMP, MPI, OpenCL/CUDA, …) and programming languages (matlab, R, C++). A general interest and knowledge in Social Sciences is welcome.

Bibliographical references:

Bertrand, L., L. Robinet, M. Thoury, K. Janssens, S. X. Cohen & S. Schöder, 2012. Cultural Heritage and Archaeology Materials Studied by Synchrotron Spectroscopy and Imaging. Applied Physics, A 106(2), 377-96. doi:10.1007/s00339-011-6686-4

Chan, T. F. & J. J. Shen, 2005. Image processing and analysis: variational, PDE, wavelet, and stochastic methods: SIAM.

Sanger, M., J. Thostenson, M. Hill & H. Cain, 2012. Fibrous Twists and Turns: Early Ceramic Technology Revealed through Computed Tomography. Applied Physics, A 111(3), 829-39. doi:10.1007/s00339-012-7287-6

Sonka, M., V. Hlavac & V. R. Boyle, 2015. Image processing, analysis, and machine vision: CENGAGE Learning.Research direction and environment

Research advisors and environment

At the UCA, research will be mentored by applied mathematicians (INRIA), Laure Blanc-Féraud, CNRS, Team MORPHEME, I3S/INRIA/IBV (http://www-sop.inria.fr/members/Laure.Blanc_Feraud/) and Juliette Leblond, INRIA, Team APICS, Sophia Antipolis (http://www-sop.inria.fr/members/Juliette.Leblond/), and archaeologists (CNRS), Didier Binder, CNRS, CEPAM, Nice (http://www.cepam.cnrs.fr/spip.php?article40) and Louise Gomart, CNRS, TRAJECTOIRES, Paris (https://xn--7ca.academia.edu/LouiseGomart).

The transdisciplinary focus needs mentor linking expertise in Physics, Mathematics, Statistics and Ancient Materials characterization with Serge Cohen, CNRS, IPANEMA, CNRS / Ministère de la Culture et de la Communication / Université Versailles Saint Quentin (http://ipanema.cnrs.fr/).
The post-doc researcher will be based at INRIA Sophia Antipolis (http://www.inria.fr/centre/sophia/), within the team APICS, in close relation with the team MORPHEME, for modelling, imaging and data processing issues.

The archaeological part of the study will be done in CEPAM Nice (http://www.cepam.cnrs.fr/).

Pre-processed data will be available at the Sychrotron SOLEIL at Saclay near Paris (http://ipanema.cnrs.fr/), where a number of visits and stays will be programmed as part of the IPANEMA group.

The Postdoc contract will start in January 2018 for 1 year, renewable once. According to the experience of the candidate, the net salary will be between 2800 € and 3300 € a month.




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